A real-time ventricular arrhythmia detection system based on the KL transform and sequential-hypothesis testing

Author

Dorsett, Thomas J. ; Guilak, Farzin ; Taylor, Lee A.

Author_Institution

Protocol Syst. Inc., Beaverton, OR, USA

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

1007

Abstract

The single lead arrhythmia detection system described in this paper uses the Karhunen-Loeve (KL) transform for clustering of QRS complexes of like morphology. A heuristic rule set is employed to label the beats as Normal or Ventricular. In parallel with the beat detection and labeling algorithm is a life-threatening arrhythmia (LTA) detection algorithm which relies on sequential hypothesis testing to detect V-Fib or V-Tach. Average performance for both algorithms is above 90% In testing with both the MIT and AHA databases

Keywords

electrocardiography; medical signal processing; real-time systems; signal detection; transforms; AHA database; Karhunen-Loeve transform; MIT database; QRS complexes clustering; algorithm performance; electrodiagnostics; heuristic rule set; life-threatening arrhythmia; normal beats; real-time ventricular arrhythmia detection system; ventricular beats; Clustering algorithms; Detection algorithms; Detectors; Karhunen-Loeve transforms; Labeling; Prototypes; Real time systems; Rhythm; Sequential analysis; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579431

Filename

579431